MTECH/ME Data Science Colleges in Bangalore

Unlock endless opportunities with a MTECH/ME Data Science degree - Empower your future!

Data Science or data driven science is an emerging field that deals with the study of large amounts of data. It involves the developing methods of recording, storing and analysing large amounts of data to effectively extract useful information for new business strategies in an organisation. The goal of data science is to gain insights and knowledge from any type of data i.e., both structured and unstructured and get the useful information from both types that is beneficial for an organisation. 
Data Science is typically related to computer science and engineering but is a separate field. The M.Tech Data Science students are required to develop programmes and algorithms to record and process data, while the data science covers any type of data analysis, which may or may not use computers.

List of Top MTech Data Sciences Colleges in Bangalore

MS Ramaiah University of Applied Sciences - Bangalore
Jain University
2 years
Master Programme
Mode of Admission
Mode of Admission
Merit /Management

BE / B. Tech.. or equivalent in Electronics and Communication Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Automobile / Automotive Engineering, Mechanical Engineering, Aerospace / Aeronautics Engineering, Civil Engineering,Bio-Medical Engineering, Mechatronics, Information Science, Telecommunication Engineering, Instrumentataion Engineering, Medical Electronics with 50% marks (45% marks in case of candidate belonging to reserved category)


Merit Quota: Rs. 30,000 to Rs 50,000 per annum
Management Quota: Rs. 90,000 to Rs. 2,50,000 per annum

Admission Process
Admission Process

Merit- The candidates seeking admission under merit to M.Tech. programme should qualify GATE/PGCET/JEE-Main. The qualified students are then required to undergo GATE counselling and PGCET counselling to get admission to M.Tech. programme.
Management- Students looking for Management seats can go for Direct Admission.

Syllabus of MTech Data Sciences

Semester Subject
Semester I
  • Applied Mathematics
  • Programming for Data Science 
  • Data Mining
  • Data Processing
  • Artificial Intelligence
  • Research Methodology & IPR
  • Professional Communication
Semester II
  • Artificial Neural Networks
  • Advanced Data Processing
  • Distributed Computing
  • Natural Language Processing
    • Artificial Intelligence
    • Distributed Computing
    • Natural Language Processing
    • Text Mining and Visualization
  • Text Mining and Visualization
  • Value Education
Semester Subject
Semester III
  • Internship
  • Group project
  • Dissertation and Publication Phase-1
Semester IV Dissertation and Publication

Placement of MTech Data Sciences

Data Science is one of the hottest and trending technologies across the globe. It is widening its areas of applications in organizations, from top MNCs to start-ups. Data Science is the bridge connecting us to the world of automation. Data Science is the substructure on which Artificial Intelligence and Machine Learning are built. 

So, it is obvious that Data Science is the base for automation (robots, chatbots, virtual assistants, etc.). Data Science is likely to escalate the employability of skilled individuals in the future. The data science professionals will be joining as team members and after a few years, they can become team leaders and even project managers.

According to various surveys it is predicted that Data Science jobs would likely grow by 30 %. Also, it is predicted that nearly about 11 million jobs in the field of data science will be created by 2027. There are a good number of careers available for M.Tech Data Science students in the industry. Some of the excellent placement opportunities available for M.Tech Data Science are given below

Data Analyst: As a data analyst one is responsible to perform tasks like pulling data out of SQL databases and produce basic data visualisations and reporting dashboards. The data analysts are also responsible to perform A/B testing of generated data and interpret the same and convert the obtained data into an understandable format for business development teams and management teams.

Salary & Emoluments: Data Analyst will receive a salary that ranges from 8 lakhs to 16 lakhs per annum. 

Data Engineer: As a data engineer one is responsible to perform batch processing or time processing on gathered and stored data. Data engineers are also responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organisation, making information accessible for all the data scientists.

Salary & Emoluments: Data Engineer will receive a salary that ranges from 6 lakhs to 12 lakhs per annum. 

Data Scientist: The Data Scientists are required to find, clean and organise data for companies. Data scientists should be able to analyse large amounts of complex raw and processed information to find patterns that will benefit an organisation and help drive strategic business decisions.

Salary & Emoluments: Data Scientist will receive a salary that ranges from 7 lakhs to 15 lakhs per annum. 

Machine Learning Engineer: The Machine Learning Engineer is responsible for creating data funnels and delivers software solutions. They typically need strong statistics and programming skills, as well as a knowledge of software engineering. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such subjects

Salary & Emoluments: Machine Learning Engineer will receive a salary that ranges from 8 lakhs to 20 lakhs per annum.

Benefits of MTech Data Sciences

The M.Tech (Data Science) professionals will enjoy the following benefits in their career

  1. It’s in huge demand: Data Science is greatly in demand and data science professionals are required in large numbers. More and more organisations are adopting data science technologies in the coming days. So, the demand for data Science professionals increases in both start-ups and top MNCs in near future. Prospective job seekers in the field of data science have numerous opportunities in the future. It is the fastest growing job on LinkedIn, and it is predicted to create nearly around 11 million jobs by 2027 and thus Data Science is a highly-employable job sector.

  2. Abundance of Positions: There are very few people who have the required skills to become complete Data Scientists. This makes Data Science less saturated as compared to other IT sectors. Therefore, data science is a vastly abundant field and has a lot of opportunities. The field of data science is high in demand but low in supply of data scientists. So, there are more positions available for data science professionals.

  3. A Highly Paid Career: Data Science is one of the most paid jobs in the world. According to different job listing websites surveys, the data scientists are paid better salary packages when compared to other professionals in an organisation. This makes data science a highly lucrative career option.

  4. Data Science is Versatile: There are numerous applications of data science. It is widely used in health-care, banking, consultancy services and e-commerce industries. Data Science is a very versatile field. Therefore, the data science professionals have the opportunity to work in various fields.

  5. Data Scientists are Highly Prestigious: Data Science allows companies to make smarter business solutions. Companies rely on data scientists and use their expertise to provide better results to their clients. This gives data scientists an important position in an organisation.

Top Recruiters for MTech Data Sciences students

amazon capgemini genpact google hp wipro apple cognizant ibm microsoft oracle tcs techmahindra

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